How to use Adieee5/deepfake-detection-ViT-CrossTraining with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Adieee5/deepfake-detection-ViT-CrossTraining") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Adieee5/deepfake-detection-ViT-CrossTraining") model = AutoModelForImageClassification.from_pretrained("Adieee5/deepfake-detection-ViT-CrossTraining", device_map="auto")
https://huggingface.co/Adieee5/deepfake-detection-ViT-CrossTraining/resolve/main/output.png
hf download hf://Adieee5/deepfake-detection-ViT-CrossTraining/output.png
curl -L -o output.png https://huggingface.co/Adieee5/deepfake-detection-ViT-CrossTraining/resolve/main/output.png
